Mac mini (Late 2020)
Geekbench AI Score
4871
Single Precision Score
5949
Half Precision Score
5156
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | September 23 2024 02:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.5 IPS |
|
|
Image Classification (Q)
|
97% |
2024
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3672
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3718
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16950
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18727
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17374
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
2812
223.0 IPS |
|
|
Object Detection (Q)
|
91% |
2123
169.6 IPS |
|
|
Face Detection (SP)
|
100% |
6779
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8357
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5829
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12109
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13618
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10505
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29200
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34958
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32695
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6492
239.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5483
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1100
19.0 IPS |
